Job description

Role: Azure AI Solution Architect Location: Atlanta, GA or San Francisco, CA (Day-1 Onsite) Job Description: • Define design and implement scalable secure AI solutions leveraging Generative AI eg LLMs diffusion models Agentic AI systems eg multi agent frameworks and mature MLOps LLMOps practices • Architect and implement end to end AI workflows including data ingestion pipelines designing model orchestration layers implementing prompt engineering strategies deploying solutions and ensuring seamless integration with enterprise systems • Develop and code robust frameworks for evaluating AI models defining metrics creating test cases and implementing processes for accuracy fairness safety and reliability particularly for Generative and Agentic AI • Lead the continuous integration and delivery CI CD of AI models by developing automation scripts configuring monitoring establishing versioning ensuring governance and building scalable deployment pipelines • Guide data scientists and ML engineers offering hands on assistance to ensure adherence to architectural principles and AI best practices • Convert complex healthcare business challenges into actionable AI strategies rapidly prototyping solutions to demonstrate feasibility and value • Stay ahead of AI trends by evaluating new technologies tools and frameworks conducting hands on experiments and pilot projects to continuously enhance AI capabilities • Establish AI governance policies ensuring compliance with HIPAA GDPR ethical AI standards model explainability and internal security requirements • Partner closely with product managers business analysts and data engineers to define requirements document and deliver impactful AI solutions and serve as the primary technical expert • Maintain clear comprehensive architectural documentation that includes implementation details • This list is not all inclusive and you are expected to perform other duties as requested or assigned Qualifications • 7 years of experience in software architecture with at least 2 years specializing in AI ML or demonstrable equivalent experience through significant impactful AI ML projects Experience in medical insurance and or healthcare preferred • Expert proficiency in Python and hands on experience with cloud AI ML services Azure preferred including developing and deploying models • Demonstrated ability to build and deploy Generative AI solutions LLMs diffusion models with a strong portfolio or examples of hands on work • Familiarity with and ability to develop agentic AI frameworks such as LangChain AutoGen or similar including custom agent development • Expert knowledge of MLOps LLMOps pipeline including implementation with tools like MLflow Kubeflow Azure ML or similar CI CD platforms • Proven ability working with prompt engineering techniques large model attunement and vector databases eg Pinecone Weaviate Milvus • Solid understanding of data privacy regulations HIPAA GDPR CCPA • Knowledge of and demonstrated ability in designing developing and integrating APIs for AI services • Influence and leadership skills including the ability to influence cross functional teams and stakeholders and effectively lead technical discussions and implementations • Excellent verbal written and interpersonal communication skills Licenses • Microsoft Certified Azure Solutions Architect preferred • AI ML Certification preferred

Requirements